Resolve problems pointed out by reviewers of JOSS journal

• Update documents, examples, and README
• Update pre-condition check for all metrics
• Remove decimal parameter in all metrics
• Replace non_zero, positive parameters by force_finite, finite_value in many metrics.
• Add features tests and comparisons tests

v1.5.0

• Add metrics to ClusteringMetric class:
  • Mean Squared Error Index (MSEI)
  • Adjusted Rand Score (ARS)
  • Gamma Score (GAS)
  • Gplus Score (GPS)
• Speed up all metrics in ClusteringMetric by transferring the computation to cluster_util module.
• Add speed up examples for clustering metrics (10x-100x faster than previous version)
• Update documents, ChangeLog, Readme

PerMetrics: A Framework of Performance Metrics for Machine Learning Models

• Reformat ClassificationMetric, RegressionMetric, and ClusteringMetric
• Fix bugs in metrics:
  • ROC-AUC score
  • F2 score, FBeta score
  • Hamming Score, Accuracy Score
• Add metrics to ClassificationMetric:
  • Brier Score Loss (BSL)
  • Kullback-Leibler Divergence Loss (KLDL)
  • Cross-Entropy Loss (CEL)
  • Hinge Loss (HL)
• Update docs, examples

v1.4.2

• Fix bug in get_support() function
• Fix bug rounding number in ClassificationMetric
• Update logo and docs

v1.4.1

• Remove all lowercase shortname of all metrics
• Fix bugs in GINI function belongs to ClassificationMetric
• Fix bugs in some functions belong to ClusteringMetric
• Update characteristics of most of the functions (valid ranges and best value)
• Add metrics to ClusteringMetrics
  • Entropy Score (ES)
  • Purity Score (PuS)
  • Tau Score (TS)
  • Duda-Hart Index (DHI)
  • Sum of Squared Error Index (SSEI)
  • Beale Index (BI)
  • R-Squared Index (RSI)
  • Density-Based Clustering Validation Index (DBCVI)
  • Hartigan Index (HI)
• Add get_support() method in RegressionMetric, ClassificationMetric, and ClusteringMetric
• Update and add more examples to all classes.
• Update documents for all metrics.

v1.4.0

• Add ClusteringMetric:
  • Add internal metrics (Need X features and y_pred)
    • ball_hall_index (BHI)
    • calinski_harabasz_index (CHI)
    • xie_beni_index (XBI)
    • banfeld_raftery_index (BRI)
    • davies_bouldin_index (DBI)
    • det_ratio_index (DRI)
    • dunn_index (DI)
    • ksq_detw_index (KDI)
    • log_det_ratio_index (LDRI)
    • log_ss_ratio_index (LSRI)
    • silhouette_index (SI)
  • Add external metrics (Need y_true and y_pred)
    • mutual_info_score (MIS)
    • normalized_mutual_info_score (NMIS)
    • rand_score (RaS)
    • fowlkes_mallows_score (FMS)
    • homogeneity_score (HS)
    • completeness_score (CS)
    • v_measure_score (VMS)
    • precision_score (PrS)
    • recall_score (ReS)
    • f_measure_score (FmS)
    • czekanowski_dice_score (CDS)
    • hubert_gamma_score (HGS)
    • jaccard_score (JS)
    • kulczynski_score (KS)
    • mc_nemar_score (MNS)
    • phi_score (PhS)
    • rogers_tanimoto_score (RTS)
    • russel_rao_score (RRS)
    • sokal_sneath1_score (SS1S)
    • sokal_sneath2_score (SS2S)
• Add examples for ClusteringMetric
• Add LabelEncoder class

v1.3.3

Update

Update ClassificationMetric:

• Rename confusion_matrix() in util file
• Support binary and multi-class classification with one-hot-encoder format
• Add Cohen's Kappa score
• Add Jaccard Similarity Index (Jaccard similarity coefficient)
• Add G-mean score
• Add GINI index
• Add ROC-AUC metric

v1.3.2

Update

Add regression metrics:

• covariance (COV): https://corporatefinanceinstitute.com/resources/data-science/covariance/
• correlation (COR): https://corporatefinanceinstitute.com/resources/data-science/covariance/
• efficiency coefficient (EC): https://doi.org/10.1016/j.solener.2019.01.037
• overall index (OI): https://doi.org/10.1016/j.solener.2019.01.037
• coefficient of residual mass (CRM): https://doi.org/10.1016/j.solener.2019.01.037

v1.3.1

Update

• Fix bug in MCC metric
• Fix bug exit() program
• Update documents
• Update examples

v1.3.0

Update

Add classification metrics:

• Add Precision Score (PS)

• Add Negative Predictive Value (NPV)

• Add Recall Score (RS)

• Add Accuracy Score (AS)

• Add F1 Score (F1S)

• Add F2 Score (F2S)

• Add F Beta Score (FBS)

• Add Specificity Score (SS)

• Add Matthews Correlation Coefficient (MCC)

• Add Hamming Loss (HL)

• Add Lift Score (LS)

• Update reference documents

• Update examples